Sherif Abdullah's starred repositories
CALIPSO-ccbrowse
Web application for browsing data from the CloudSat and CALIPSO satellites.
nasapower-R
API Client for NASA POWER Global Meteorology, Surface Solar Energy and Climatology in R
CALIPSO_ccplot
Command-line application for visualizing data from CloudSat and CALIPSO satellites
GOES_after_Amy_Huff
supporting_functions
emit-sds-l2a
Surface reflectance and mask generation for EMIT.
dmrpp-file-generator-docker
Docker image to generate dmrpp files from netCDF and HDF files
harmony-netcdf-to-zarr
Service for transforming NetCDF4 files into Zarr files within Harmony. https://github.com/nasa/harmony
-PopGrid-SDG11.5-Tutorial
Tutorial to use Popgrid estimates for Earthquake hazards and exposed population The Colab link has more details of the essential libraries for installation and Tutorial explination https://colab.research.google.com/drive/1GZ0dOCsn0jNkA96tDD9teOVyVemWQGfW?usp=sharing Cliping Step for Raster Based on Imported Country Shapefile Authored By Cascade Tuholske, Sep 2020 Updated By Hazem Mahmoud, Sep 2021 Notebook to clip rasters. NOTE Available to be run for all geographies: Egypt for EGY.shp, nepal.shp for Nepal, chile.shp for chile Download your target country shapefile from https://gadm.org/ Download your target shakemap from https://earthquake.usgs.gov/data/shakemap/ General Workflow import your country boundry in .shp file format import your shake map from USGS .shp file format locate your 2 files path and edit the path in the script follow the steps in ascending order a. clip population _match.tif from country .shp to _match_country.tif b. clip urban & rural from country .shp to _match_urban_country.tif & _match_rural_country.tif c. deffrentiate between the exposed population to urban and rural using the shakemap .shp from USGS
earthdata_hyraxOPeNDAP_access
Content shows access method in accessing data through earthdata hyrax opendap
ARSET_ML_Fundamentals
Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"
NASA-tutorials-opendap
Tutorials for NASA's OPeNDAP services
Accuracy_of_GridPops_in_Slums
Code and datasets related to accuracy assessments of gridded population datasets in "slums" and other deprived urban areas
diwg-data-compliance-test
Data compliance test against the recommendations of ESDSWG DIWG